For example I have a dataset with 100 patients and I performed a two stage fitting using a) 1-compartment model b) 2-compartment model. To calculate the total loglikelihood (LL), I can just add the LLs for all 100 fits that I get and compare a and b, but I have a feeling that I we cannot add the BICs or AICs like LLs for all fits. Is there a rational way to get a “total BIC/AIC”? Thank you!
I don’t think AIC/BIC add up as the individual log-likelihoods do
Yes, I figured that we can rather do a paired t-test using individual AIC/BIC to compare between models in a two-stage approach rather than trying to get a total value.
Thanks
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